使用Hadoop查看隐藏数据

M. P. Cota, María Díaz Rodríguez, M. R. G. Castro, R. Gonçalves, F. Branco, J. Martins
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引用次数: 1

摘要

如何高效地处理具有多种结构的海量数据已成为大数据研究的重点。Hadoop的出现是该领域的一个突破,它允许对大量数据进行分析,而不需要大型超级计算机,而是通过普通硬件和一套强大的软件工具进行补充。这项新技术提供的计算优势使其在大量领域非常受欢迎,其中之一就是健康数据管理。本文的目的是分析Hadoop及其生态系统的现状,以及确定如何利用这些技术的优势,不仅可以分析健康数据,还可以揭示可以更好地解释医疗记录的隐藏信息。特别是,我们的工作将集中在确定兽医数据背后,环境变化是如何影响的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Viewing hidden data using Hadoop
How to handle big amounts of data with several structures in an efficient way has been the key point of Big Data. The appearance of Hadoop has been a breakthrough in this field, by allowing to perform an analysis of important volumes of data, without the need of large supercomputers, but through commodity hardware complemented with a set of powerful software tools. The computing advantages provided by this new technology have made it very popular in a massive amount of areas and one of them is health data management. The purpose of this paper is to analyze the state of the art on Hadoop and its ecosystem, as well as to determine how it is possible to use the strength of these technologies, not only to analyze health data but also to reveal hidden information that can explain medical records in a better way. In particular, our work will be focused on determine how, behind veterinary data, there is an influence of the environmental changes.
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